Create appp.py

appp.py

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+import os, sys
+import tempfile
+import gradio as gr
+from src.gradio_demo import SadTalker  
+# from src.utils.text2speech import TTSTalker
+from huggingface_hub import snapshot_download
+
+def get_source_image(image):   
+        return image
+
+try:
+    import webui  # in webui
+    in_webui = True
+except:
+    in_webui = False
+
+
+def toggle_audio_file(choice):
+    if choice == False:
+        return gr.update(visible=True), gr.update(visible=False)
+    else:
+        return gr.update(visible=False), gr.update(visible=True)
+    
+def ref_video_fn(path_of_ref_video):
+    if path_of_ref_video is not None:
+        return gr.update(value=True)
+    else:
+        return gr.update(value=False)
+    
+def download_model():
+    REPO_ID = 'vinthony/SadTalker-V002rc'
+    snapshot_download(repo_id=REPO_ID, local_dir='./checkpoints', local_dir_use_symlinks=True)
+
+def sadtalker_demo():
+
+    download_model()
+
+    sad_talker = SadTalker(lazy_load=True)
+    # tts_talker = TTSTalker()
+
+    with gr.Blocks(analytics_enabled=False) as sadtalker_interface:
+        gr.Markdown("<div align='center'> <h2> 😭 SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation (CVPR 2023) </span> </h2> \
+                    <a style='font-size:18px;color: #efefef' href='https://arxiv.org/abs/2211.12194'>Arxiv</a> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; \
+                    <a style='font-size:18px;color: #efefef' href='https://sadtalker.github.io'>Homepage</a>  &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; \
+                     <a style='font-size:18px;color: #efefef' href='https://github.com/Winfredy/SadTalker'> Github </div>")
+        
+        
+        gr.Markdown("""
+        <b>You may duplicate the space and upgrade to GPU in settings for better performance and faster inference without waiting in the queue. <a style='display:inline-block' href="https://huggingface.co/spaces/vinthony/SadTalker?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a></b> \
+        <br/><b>Alternatively, try our GitHub <a href=https://github.com/Winfredy/SadTalker> code </a> on your own GPU. </b> <a style='display:inline-block' href="https://github.com/Winfredy/SadTalker"><img src="https://img.shields.io/github/stars/Winfredy/SadTalker?style=social"/></a> \
+        """)
+        
+        with gr.Row().style(equal_height=False):
+            with gr.Column(variant='panel'):
+                with gr.Tabs(elem_id="sadtalker_source_image"):
+                    with gr.TabItem('Source image'):
+                        with gr.Row():
+                            source_image = gr.Image(label="Source image", source="upload", type="filepath", elem_id="img2img_image").style(width=512)
+
+
+                with gr.Tabs(elem_id="sadtalker_driven_audio"):
+                    with gr.TabItem('Driving Methods'):
+                        gr.Markdown("Possible driving combinations: <br> 1. Audio only 2. Audio/IDLE Mode + Ref Video(pose, blink, pose+blink) 3. IDLE Mode only 4. Ref Video only (all) ")
+
+                        with gr.Row():
+                            driven_audio = gr.Audio(label="Input audio", source="upload", type="filepath")
+                            driven_audio_no = gr.Audio(label="Use IDLE mode, no audio is required", source="upload", type="filepath", visible=False)
+
+                            with gr.Column():
+                                use_idle_mode = gr.Checkbox(label="Use Idle Animation")
+                                length_of_audio = gr.Number(value=5, label="The length(seconds) of the generated video.")
+                                use_idle_mode.change(toggle_audio_file, inputs=use_idle_mode, outputs=[driven_audio, driven_audio_no]) # todo
+
+                        with gr.Row():
+                            ref_video = gr.Video(label="Reference Video", source="upload", type="filepath", elem_id="vidref").style(width=512)
+
+                            with gr.Column():
+                                use_ref_video = gr.Checkbox(label="Use Reference Video")
+                                ref_info = gr.Radio(['pose', 'blink','pose+blink', 'all'], value='pose', label='Reference Video',info="How to borrow from reference Video?((fully transfer, aka, video driving mode))")
+
+                            ref_video.change(ref_video_fn, inputs=ref_video, outputs=[use_ref_video]) # todo
+
+
+            with gr.Column(variant='panel'): 
+                with gr.Tabs(elem_id="sadtalker_checkbox"):
+                    with gr.TabItem('Settings'):
+                        gr.Markdown("need help? please visit our [[best practice page](https://github.com/OpenTalker/SadTalker/blob/main/docs/best_practice.md)] for more detials")
+                        with gr.Column(variant='panel'):
+                            # width = gr.Slider(minimum=64, elem_id="img2img_width", maximum=2048, step=8, label="Manually Crop Width", value=512) # img2img_width
+                            # height = gr.Slider(minimum=64, elem_id="img2img_height", maximum=2048, step=8, label="Manually Crop Height", value=512) # img2img_width
+                            with gr.Row():
+                                pose_style = gr.Slider(minimum=0, maximum=45, step=1, label="Pose style", value=0) #
+                                exp_weight = gr.Slider(minimum=0, maximum=3, step=0.1, label="expression scale", value=1) # 
+                                blink_every = gr.Checkbox(label="use eye blink", value=True)
+
+                            with gr.Row():
+                                size_of_image = gr.Radio([256, 512], value=256, label='face model resolution', info="use 256/512 model?") # 
+                                preprocess_type = gr.Radio(['crop', 'resize','full', 'extcrop', 'extfull'], value='crop', label='preprocess', info="How to handle input image?")
+                            
+                            with gr.Row():
+                                is_still_mode = gr.Checkbox(label="Still Mode (fewer head motion, works with preprocess `full`)")
+                                facerender = gr.Radio(['facevid2vid','pirender'], value='facevid2vid', label='facerender', info="which face render?")
+                                
+                            with gr.Row():
+                                batch_size = gr.Slider(label="batch size in generation", step=1, maximum=10, value=1)
+                                enhancer = gr.Checkbox(label="GFPGAN as Face enhancer")
+                            
+                            submit = gr.Button('Generate', elem_id="sadtalker_generate", variant='primary')
+                            
+                with gr.Tabs(elem_id="sadtalker_genearted"):
+                        gen_video = gr.Video(label="Generated video", format="mp4").style(width=256)
+
+        
+
+        submit.click(
+                fn=sad_talker.test,
+                inputs=[source_image,
+                        driven_audio,
+                        preprocess_type,
+                        is_still_mode,
+                        enhancer,
+                        batch_size,                            
+                        size_of_image,
+                        pose_style,
+                        facerender,
+                        exp_weight,
+                        use_ref_video,
+                        ref_video,
+                        ref_info,
+                        use_idle_mode,
+                        length_of_audio,
+                        blink_every
+                        ], 
+                outputs=[gen_video]
+                )
+
+        with gr.Row():
+            examples = [
+                [
+                    'examples/source_image/full_body_1.png',
+                    'examples/driven_audio/bus_chinese.wav',
+                    'crop',
+                    True,
+                    False
+                ],
+                [
+                    'examples/source_image/full_body_2.png',
+                    'examples/driven_audio/japanese.wav',
+                    'crop',
+                    False,
+                    False
+                ],
+                [
+                    'examples/source_image/full3.png',
+                    'examples/driven_audio/deyu.wav',
+                    'crop',
+                    False,
+                    True
+                ],
+                [
+                    'examples/source_image/full4.jpeg',
+                    'examples/driven_audio/eluosi.wav',
+                    'full',
+                    False,
+                    True
+                ],
+                [
+                    'examples/source_image/full4.jpeg',
+                    'examples/driven_audio/imagine.wav',
+                    'full',
+                    True,
+                    True
+                ],
+                [
+                    'examples/source_image/full_body_1.png',
+                    'examples/driven_audio/bus_chinese.wav',
+                    'full',
+                    True,
+                    False
+                ],
+                [
+                    'examples/source_image/art_13.png',
+                    'examples/driven_audio/fayu.wav',
+                    'resize',
+                    True,
+                    False
+                ],
+                [
+                    'examples/source_image/art_5.png',
+                    'examples/driven_audio/chinese_news.wav',
+                    'resize',
+                    False,
+                    False
+                ],
+                [
+                    'examples/source_image/art_5.png',
+                    'examples/driven_audio/RD_Radio31_000.wav',
+                    'resize',
+                    True,
+                    True
+                ],
+            ]
+            gr.Examples(examples=examples,
+                        inputs=[
+                            source_image,
+                            driven_audio,
+                            preprocess_type,
+                            is_still_mode,
+                            enhancer], 
+                        outputs=[gen_video],
+                        fn=sad_talker.test,
+                        cache_examples=os.getenv('SYSTEM') == 'spaces') # 
+
+    return sadtalker_interface
+ 
+
+if __name__ == "__main__":
+
+    demo = sadtalker_demo()
+    demo.queue(max_size=10)
+    demo.launch(debug=True)
+
+